Session 2793 An Analytical Method for Optimum Frequency Domain Design in Control Applications Gary L. Dempsey, Eugene S. McVey Bradley University/University of VirginiaAbstractOur paper will revisit a method that was first introduced at Yale University in the late 1950s by Bowerand Schultheiss in their linear control textbook, Introduction to the Design of Servomechanisms.Control system design normally requires several design iterations in a simulation environment to meet aset of system specifications. The analytical method discussed here comprises the
proportional gain only. This wasthe system that was used for this pilot program. A highly simplified system block diagram, reasonable for the purposes here, forclosed-loop operation, is as shown in Figure 2. Details of block diagrams, Laplacetransforms, and other issues related to system analysis will not be included here, asnumerous controls textbooks, such as the text by Nise6, are available with in-depthdiscussions. In Figure 2, G(s) is the plant transfer function, Y(s) is the piston position,X(s) is a valve opening position, R(s) is the command input signal (r(t) is a specifiedpiston position as a function of time), and Gc(s) is a selected compensator transferfunction. The valve opens and allows fluid to flow, which moves the piston in
Waterloo, E&CE department. Page 11.730.1© American Society for Engineering Education, 2006 Improve Learning Efficiency with Integrated Math and Circuit Simulation Tools in Electrical and Computer Engineering Courses1. AbstractThis paper presents coupling the use of the TINA circuit simulation software with theMathcad mathematical software. This coupling permits students to simply (1) enter a circuit inTINA diagramatically, (2) export its symbolic solution y(t), or its transfer function, Y(s), to aMathcad file, and (3) plot these solutions for multiple values of a parameter (e.g. R) on a 2-Dor 3-D graph. The symbolic
Page 9.687.1 Copyright © 2004, American Society for Engineering Education T ea c h e rs A ffe ctive B eh a vio ra l C o g n itive HPL H y p o th e s is S u rve ys VOS E va l o f E v al o f W o rks h o p s D e s ig n s T e ac h e r R e s e a rch Change
/computer science students was conducted at the University of New Mexico. The scholarshipprogram involved elements such as faculty mentoring, career development activities and financial support foreach student scholar. In this paper, the program details are furnished and data on the positive impacts of suchactivities on student academic success is presented. IntroductionThe S-STEM (Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) project (NSFAward ID 1458854) at the University of New Mexico (UNM) officially started awarding scholarships in the fall2015. Funded through a grant from the National Science Foundation, the S-STEM project at UNM focuses onretaining and graduating
meaningful und ergraduat e a. Provide meaningful underg raduate a. Provide meaningful und ergraduate a. Provide meaningful und ergraduat eeducational experiences educational experiences educational experiences educational experiencesb. Enable st udent s with a v ariety o f b. Enable s tuden ts with a variety of b. Enable st udents with a variety of b. Enable stu dents with a variety ofbackgrounds to ac quire technical knowledge backgrounds to acqu ire techn ical knowledge background s to acquire technical knowledge backgrounds to a cquire technical knowledgeand s
comments fr om Pr inciples of Automatic Contr ol (junior - level class), fall 2002 and fall 2003.Lectur e subject Muddy car d commentControl system analysis “Laplace is muddy”Steady-state errors Kv dc “How did you go from C? E to ? K v e ?” s dtState-space analysis “What is a non-singular transformation” “What does singular mean”Diagnostics have been performed by several faculty members to document this problem. Figure1 shows the results from a diagnostic quiz given to
against MGUDS-S global competence scores, also using MATLAB.⚫ To propose methods for identifying key factors for enhancing levels of student engagement and satisfaction in group activities, in the context of international, collaborative workshop involving students from diverse backgrounds.During the online robotics workshops in AY2022 and 2023, the study's authors, Iwata andKimura, were undergraduate students in the Department of Engineering Science andMechanics at the College of Engineering at SIT, and had been serving as Student TeachingAssistants (TAs) on the Online Robotics workshop; they were then chosen to also be part ofthe team carrying out Slack-based evaluation. They worked under the supervision of thestudy authors, Prof. Nagasawa and
baseline data, andprocesses for assessment and continuing improvement. Task force members then take these backto share with their department chairs and faculty. Individual programs can use them directly ormodify them to better suit their program objectives and performance criteria.Department chairs and their ATF representatives worked with the department faculty and otherconstituencies to develop the following for programs within each department:• Program educational objectives and performance criteria consistent with program-unique mission, the needs of various constituencies, and the ABET Engineering Criteria 2000’s specifications;• An assessment process that demonstrates educational objectives and their associated learning outcomes are
' s Figure 2: Single phase equivalent circuit model of a 3-phase induction motor. Page 12.921.4 Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition Copyright ø 2007, American Society for Engineering EducationEach of the variables is defined as follows:‚ Va 5 Line-to-neutral voltage ‚ Rs 5 stator resistance‚ I 5 Line current ‚ Lls 5 stator leakage inductance a‚ Ea 5 Magnetizing voltage ‚ RC 5
Paper ID #19184MAKER: Smart Multipurpose Drainage SystemDr. Hugh Jack P.E., Western Carolina University Dr. Jack is not the author. The abstract has been submitted on behalf of B. Joseph Britto, S. Gowri Shankar, B. Ganga Gowtham Prabhu - Kumaraguru College of Technology, Coimbatore, India. c American Society for Engineering Education, 2017 Smart Multipurpose Drainage SystemAuthorsB. Joseph Britto, S. Gowri Shankar, B. Ganga Gowtham PrabhuKumaraguru College of Technology, Coimbatore, IndiaAbstract The drainage systems are required to be monitored in order to maintain its
demonstrate the practicality of thenew PID design method.The remaining of the paper is organized as follows: Section 2 describes the methodology and itsimplementation in Microsoft Excel. Section 3 presents simulation results on the performance ofthe proposed method for a number of processes. Section 4 presents experimental results whileSection 5 discusses the impact on undergraduate education. Finally, Section 6 summarizes themain results.2. The Proposed Tuning Method2.1 Block Diagram RepresentationConsider a process under feedback control as shown in Figure 1. Figure 1. Schematic of a feedback control loop.where (in the Laplace domain): Gp(s) is the process model Gc(s) is the controller transfer function Gd
FACE Lab research group at Purdue. In his research, Hynes explores the use of engineering to integrate academic subjects in K-12 classrooms. Specific research interests include design metacognition among learners of all ages; the knowledge base for teaching K-12 STEM through engi- neering; the relationships among the attitudes, beliefs, motivation, cognitive skills, and engineering skills of K-16 engineering learners; and teaching engineering. c American Society for Engineering Education, 2019 “J UST L IKE ME” : IMPR O VING THE IMAGE O F ENGINE ERING FOR E LE ME NTAR Y SCHOO L STUDE NTS (RE S O UR CE EX CHANGE) | UNIT GR ADE LE VEL: 3 -5 J E S S I C A RU S H L E E K
pattern. The Maple plot statement with square brackets [ ] will plot one function againstthe other. One sine wave is at 2 r/s and the other is at 3 r/s. The Lissajous pattern (Fig.3) shows thatthe ratio of the number of vertical peaks (6) to the number of horizontal peaks (4) is the same as theratio of the two frequencies (3:2).> plot( [S1,S2, t=0..8] ); Page 3.398.4 Fig. 3. Lissajous Graph of S1 and S2.• Now let’s multiply the exponential term and the sine function, 6exp(-2t) * sin(3t), and plot theresults. The result (Fig.4) has a peak value of about 2.5. To find the exact value we use the Maplecommand “maximize”. We can also find
reconsider the role that spatial skills actuallyplay in training engineers. This paper argues that spatial skills testing and training interventionsare a misuse of the time and energy of people who want to help women and other historicallyexcluded students succeed in engineering. We must reframe our interventions withoutperpetuating deficit models about cognitive abilities like “spatial skills,” a construct which, inspite of its wide popularity in the STEM education community, has been very poorly formulated.References[1] S. G. Vandenberg and A. R. Kuse, “Mental rotations, a group test of three-dimensionalspatial visualization,” Percept Mot Skills, vol. 47, no. 2, pp. 599–604, Dec. 1978, doi:10.2466/pms.1978.47.2.599.[2] M. Peters, B. Laeng
througha simple measurement using a smartphone. The concept of using the accelerometer sensor in mobilephones for physics experiments has become a well-known option for STEM teachers [10]. Sincethese devices are readily available to most students and teachers, experiments can be set up at lowcost while generating interest and motivation for learning.The smartphone app called Phyphox™ is used to record the accelerometer readings and report theearth's acceleration of 9.81 m/s² while the phone is resting (which is what we call "Accelerationwith g"). In contrast, the physical acceleration is zero when the phone is resting (or moving at aconstant speed), so there is a virtual sensor that subtracts the constant acceleration (usually by takinginto
Paper ID #22611High-Achievers Scholarship Program in Computer Science and MathematicsDr. Rahman Tashakkori, Appalachian State University Rahman Tashakkori received his PhD in Computer Science from Louisiana State University in 2001. He is currently serving as the Chair and Lowe’s Distinguished Professor of Computer Science at Appalachian State University. He has led several NSF projects that include CSEMS, S-STEM, STEP, and RET.Dr. Cindy Norris, Appalachian State University Dr. Cindy Norris is a Professor in the Department of Computer Science at Appalachian State University. She received her PhD in Computer Science from the
?AbstractService-learning (S-L) has been integrated into an average of 30 engineering courses every yearsince 2004 in five undergraduate departments. Forty-three faculty members have tried S-L, overhalf the engineering faculty. In 2010-2011, 1267 students (out of an enrollment of 1600) engagedin S-L projects in 33 courses contributing an estimated 49,500 hours to the community. Thisapproach to trying to develop better engineers and more engaged citizens was motivated by thegrowing body of research showing widespread benefits of S-L, the meeting of academicobjectives through addressing real community needs in credit-bearing courses. But what do thestudents who are part of this program think about S-L? In this study surveys of student viewswere collected
Page 3.319.3 LEV EL 1 Engineering G raphics Engineering M anage- Engineering Q uality P roduction P rocesses m ent C ontrol A u to c a d T opD ow n S P C S im A N O V A -T M S p r e a d s h e e ts M ic r o s o ft P r o je c t CA NVA S R obotics and Ergonom ics O perations R esearch A utom ation ErgoEA S E
a y M o r e R e s o ur c e s M o re P ro d u c tiv e L e s s W a s te A d v is in g M o re S a tis fie d S o c ie ty M e n to rin g B e tte r C o m m u n ity Delay D Society D elay
Page 12.1274.2© American Society for Engineering Education, 2007 Service-Learning in Core Courses throughout a Mechanical Engineering CurriculumAbstractService-Learning (S-L) has been shown to be effective on a large number of cognitiveand affective measures for college students. S-L is a pedagogy in which student learningobjectives and real community needs are met in a credit-bearing course. In engineeringthe integration of S-L into any courses, much less existing core courses in a curriculumdoes not match the penetration in other disciplines. The Mechanical Engineering (ME)Department at the University of Massachusetts Lowell has incorporated S-L projects intocore courses so that every student has at least one
the benefits that faculty mentors gain and what it takesto become a successful mentor.We investigated benefits that faculty members perceived from mentor-mentee relationships in aNational Science Foundation (NSF) Scholarships in Science, Technology, Engineering andMathematics (S-STEM) funded program at the University of California, Irvine. The programaims to support low-income, transfer students who are pursuing baccalaureate of science degreesin engineering. As part of the program, faculty mentor these students through degree completion.To study this mentoring, we performed one-on-one interviews with S-STEM faculty mentors andasked questions that were divided into four subcategories: (1) how the mentors’ identity and pastexperiences shaped
Credit Synapse The Synapse Revealed Graham Johnson 2005 S&E Visualization Challenge Winner Timeline of Budget Preparation• OMB sends guidance letter in Spring• OSTP/OMB sends priority memo for R&D in Spring• Agencies prepare budget submissions-Aug/Sept » EMBARGOED DISCUSSIONS• Agencies submit budgets to OMB/EOP (OSTP) in Sept• Thanksgiving OMB letter to agencies• Rebuttal• Christmas final numbers are locked• Preparation of budget justifications, et al.• President’s budget submitted in February – Agency required to support in public• Congress holds hearings and passes authorization bill by Sept 30!• Agencies began new budget process gathering ideas in March and April
3549 PRACTICAL CONTROL SYSTEM FOR CLASSROOM AND LABORATORY Veng S. Kouch Georgia Southern UniversityAbstract:A practical control system (in which student s test t he fundamental blocks or the whole system) isa useful tool for enhancing understanding in the classroom or laboratory. Control systems builtfor training purposes are not widely available.This paper presents elements of the design, construction and testing of an electro-mechanicalcontrol system. The system is easily built, and provides excellent results. Only basic instrumentsare
bachelor’s degrees may be eager to enter the engineering workforce. However,in many engineering disciplines, individuals have more earning potential and career trajectoryoptions with a master’s degree. In this paper, we identify several categories of barriers and lessonslearned to launching an S-STEM focused on graduate students at a large R1 public institution thatmay be useful to other such programs. These include discussions on recruitment of this specializedpopulation of students into graduate school, especially those from other institutions, can bedifficult because i) there are structural and legal barriers to accessing financial information aboutstudents to identify low-income students and ii) smaller institutions may not have the
. DEVELOPING SKILLS IN PROJECT DEVELOPMENT ABSTRACT By Lucian P. Fabiano New Jersey Institute of Technology INTRODUCTION Today’ s competitive need to develop high quality products has redefined the development role of engineers and engineering technologists . Historically, they have been hired to manage their own technical work activities and have not been expected to take on responsibilities required for overall project success. Today, engineers and engineering technologists assume much broader responsibilities . Responsibility for achieving specific
,thentheydonothavetheopportunitytodemonstratepersistence.ResultsTheresultsareanalyzedbyseparatingtheclassintothreegroupsbasedupontheirpre-testscores,Low(<=70%),Mid(70%=90%).Forcomparison,theresultsoftheearliesttrialsinthegroupfrom2014areshowninTable1,andthelatesttrialinthegroupfromspring2017isshowninTable2. Table1.OverallPerformanceResultsforStudentsof AllTestGroupsinthe2014TrialinElectiveCourseMAE7. Pre Test Pre Test Pre Test Group: Low Group: Mid Group: High All Groups (n=13) (n=17) (n=22) (n=52) Avg. Pre-Test Score 53% s=9.8% 78% s=5.9% 93% s=4.4% 78% s=17.2% Avg. Post-Test Score 61% s=13.2% 87% s=7.9% 90% s=6.0% 82% s=15.0% Avg. Test
. Page 11.395.4The other equation that are used in this VI are equations to calculate the RMS values of voltageand current, the maximum value of current from voltage and impedance information, and the realpower (P), reactive power (Q), and total power (S). Vm Im V m ∠θ vV = ...... I = ......I m = ............(6) 2 2 Z∠θ zP = V I cos θ .........Q = V I sin θ .............S = P + jQ................(7)θ = θ v − θ i ....................................................................(8)The front panel of this VI consists of (a) the user inputs (controls) such as maximum voltage,angle of the voltage, impedance, angle of the
knowledge management systems, suchas, Blackboard [1], and WebCT [2], as well as the distance education systems developed atvarious academic institutions [3-14]. A majority of e-Learning systems concentrate mainly ondelivery of course contents over the Internet with little or no room for interactivity. Interactivity Page 9.192.11 This research is supported by National Science Foundation s Science, Technology, Engineering, and MathematicsTalent Expansion Program under grant #0230425. “Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American
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